Director, Data Analytics & Machine Learning

RBC; Toronto; On-site; CAD 130,000 - 180,000; Full time

Job summary

RBC is seeking a Director of Data Analytics & Machine Learning to lead the development of AI-driven analytics solutions. You will spearhead the integration of machine learning and generative AI to enhance risk management workflows, ensuring efficiency and automation. This high-impact role requires strong leadership, technical expertise, and excellent communication skills.

Benefits

Comprehensive Total Rewards Program

Flexible benefits

Competitive compensation

Work/life balance options

Opportunities for professional development

Qualifications

• Hands-on experience with ML/DL frameworks.
• Knowledge of GenAI technologies.
• Capable of delivering production grade applications.

Responsibilities

• Lead development of AI-driven solutions.
• Manage cross-functional project teams.
• Collaborate with technology teams for timely delivery.

Skills

Business Analytics

Risk Management

Market Analysis

Tools

scikit-learn

PyTorch

Hugging Face Transformers

Apache Spark

Airflow

FastAPI

Job description

Job Summary

Job Description

What is the opportunity?

We are looking for a strategic and hands-on leader to join our team as the Director of Data Analytics & Machine Learning. In this role, you will spearhead the research, development, and implementation of advanced analytics solutions – integrating machine learning (ML) and Generative AI (GenAI) into daily risk management workflows to drive efficiency, automation and business value.

What will you do?

• Lead Full-Stack AI Solution Development: Oversee and contribute to the end-to-end development of AI-driven solutions, including data ingestion pipelines, scalable backend architectures, and intuitive front-end interfaces for seamless delivery.
• Apply expertise in machine learning algorithms (e.g., supervised learning such as decision trees, gradient boosting, deep neural networks, unsupervised learning such as clustering, dimensionality reduction), natural language processing (e.g., TF-IDF, transformer models, embedding models), and GenAI (e.g., modular RAG, embedding model fine-tuning) for risk management applications
• Manage cross-functional project teams, including scoping, planning, stakeholder engagement and execution
• Collaborate closely with technology teams to ensure timely and scalable delivery of data and AI solutions
• Partner with business and innovation stakeholders to align technical solutions with strategic objectives and secure buy-in.

What do you need to succeed?

• Proven hands-on experience with modern ML/DL frameworks and tools such as scikit-learn, PyTorch, and Hugging Face Transformers.
• Experience with GenAI technologies, including foundation LLM, Hugging Face Transformers, LangChain, LangGraph, and vector databases (e.g., Weaviate, PGVector).
• Demonstrated ability to build and deliver production grade applications, including Apache Spark, Airflow, and FastAPI.
• Familiarity with modern MLOps tools and practices, such as Airflow, Docker, Kubernetes, MLflow, and CI/CD pipelines.
• Track record of successfully leading projects from prototype to production
• Excellent communication skills and ability to influence both technical and non-technical stakeholders
• Experience working in regulated environment is an asset

Nice-to-have

• Experience with GenAI deployment in Enterprise use cases (e.g., Model Context Protocol (MCP), prompt engineering, vector databases)
• Knowledge of risk management

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Flexible work/life balance options
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work

Job Skills

Business Analytics, Derivatives, Effectiveness Measurement, Investment Banking Analysis, Long Term Planning, Market Analysis, Market Risk, Results-Oriented, Risk Management

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-06-04

Application Deadline:

2025-06-21

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.